Pandas Profiling Report

Dataset statistics

Number of variables	32
Number of observations	119390
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	8178
Duplicate rows (%)	6.8%
Total size in memory	30.1 MiB
Average record size in memory	264.0 B

Variable types

Categorical	20
Numeric	12

Warnings

Dataset has 8178 (6.8%) duplicate rows	Duplicates
`country` has a high cardinality: 178 distinct values	High cardinality
`reservation_status_date` has a high cardinality: 926 distinct values	High cardinality
`reservation_status` is highly correlated with `is_canceled`	High correlation
`is_canceled` is highly correlated with `reservation_status`	High correlation
`previous_cancellations` is highly skewed (γ1 = 24.45804872)	Skewed
`previous_bookings_not_canceled` is highly skewed (γ1 = 23.53979995)	Skewed
`lead_time` has 6345 (5.3%) zeros	Zeros
`stays_in_weekend_nights` has 51998 (43.6%) zeros	Zeros
`stays_in_week_nights` has 7645 (6.4%) zeros	Zeros
`previous_cancellations` has 112906 (94.6%) zeros	Zeros
`previous_bookings_not_canceled` has 115770 (97.0%) zeros	Zeros
`booking_changes` has 101314 (84.9%) zeros	Zeros
`days_in_waiting_list` has 115692 (96.9%) zeros	Zeros
`adr` has 1959 (1.6%) zeros	Zeros
`total_of_special_requests` has 70318 (58.9%) zeros	Zeros

Reproduction

Analysis started	2021-05-09 07:53:42.150858
Analysis finished	2021-05-09 07:54:37.345423
Duration	55.19 seconds
Software version	pandas-profiling v2.13.0
Download configuration	config.yaml

hotel
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Lisbon City Hotel	79330
Algarve Resort Hotel	40060

Length

Max length	20
Median length	17
Mean length	18.00661697
Min length	17

Characters and Unicode

Total characters	2149810
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Algarve Resort Hotel
2nd row	Algarve Resort Hotel
3rd row	Algarve Resort Hotel
4th row	Algarve Resort Hotel
5th row	Algarve Resort Hotel

Value	Count	Frequency (%)
Lisbon City Hotel	79330	66.4%
Algarve Resort Hotel	40060	33.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
hotel	119390	33.3%
city	79330	22.1%
lisbon	79330	22.1%
resort	40060	11.2%
algarve	40060	11.2%

Most occurring characters

Value	Count	Frequency (%)
	238780	11.1%
o	238780	11.1%
t	238780	11.1%
e	199510	9.3%
l	159450	7.4%
i	158660	7.4%
s	119390	5.6%
H	119390	5.6%
r	80120	3.7%
L	79330	3.7%
Other values (9)	517620	24.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1552860	72.2%
Uppercase Letter	358170	16.7%
Space Separator	238780	11.1%

Most frequent character per category

Value	Count	Frequency (%)
o	238780	15.4%
t	238780	15.4%
e	199510	12.8%
l	159450	10.3%
i	158660	10.2%
s	119390	7.7%
r	80120	5.2%
b	79330	5.1%
n	79330	5.1%
y	79330	5.1%
Other values (3)	120180	7.7%

Value	Count	Frequency (%)
H	119390	33.3%
L	79330	22.1%
C	79330	22.1%
A	40060	11.2%
R	40060	11.2%

Value	Count	Frequency (%)
	238780	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1911030	88.9%
Common	238780	11.1%

Most frequent character per script

Value	Count	Frequency (%)
o	238780	12.5%
t	238780	12.5%
e	199510	10.4%
l	159450	8.3%
i	158660	8.3%
s	119390	6.2%
H	119390	6.2%
r	80120	4.2%
L	79330	4.2%
b	79330	4.2%
Other values (8)	438290	22.9%

Value	Count	Frequency (%)
	238780	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2149810	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	238780	11.1%
o	238780	11.1%
t	238780	11.1%
e	199510	9.3%
l	159450	7.4%
i	158660	7.4%
s	119390	5.6%
H	119390	5.6%
r	80120	3.7%
L	79330	3.7%
Other values (9)	517620	24.1%

is_canceled
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	75166
1	44224

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	119390
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	75166	63.0%
1	44224	37.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	75166	63.0%
1	44224	37.0%

Most occurring characters

Value	Count	Frequency (%)
0	75166	63.0%
1	44224	37.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119390	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	75166	63.0%
1	44224	37.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	119390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	75166	63.0%
1	44224	37.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	75166	63.0%
1	44224	37.0%

lead_time
Real number (ℝ_≥0)

ZEROS

Distinct	479
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	104.0114164

Minimum	0
Maximum	737
Zeros	6345
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	18
median	69
Q3	160
95-th percentile	320
Maximum	737
Range	737
Interquartile range (IQR)	142

Descriptive statistics

Standard deviation	106.863097
Coefficient of variation (CV)	1.027416997
Kurtosis	1.696448849
Mean	104.0114164
Median Absolute Deviation (MAD)	60
Skewness	1.346549873
Sum	12417923
Variance	11419.72151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	6345	5.3%
1	3460	2.9%
2	2069	1.7%
3	1816	1.5%
4	1715	1.4%
5	1565	1.3%
6	1445	1.2%
7	1331	1.1%
8	1138	1.0%
12	1079	0.9%
Other values (469)	97427	81.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6345	5.3%
1	3460	2.9%
2	2069	1.7%
3	1816	1.5%
4	1715	1.4%

Value	Count	Frequency (%)
737	1	< 0.1%
709	1	< 0.1%
629	17	< 0.1%
626	30	< 0.1%
622	17	< 0.1%

arrival_date_year
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

2016	56707
2017	40687
2015	21996

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	477560
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2015
2nd row	2015
3rd row	2015
4th row	2015
5th row	2015

Value	Count	Frequency (%)
2016	56707	47.5%
2017	40687	34.1%
2015	21996	18.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
2016	56707	47.5%
2017	40687	34.1%
2015	21996	18.4%

Most occurring characters

Value	Count	Frequency (%)
2	119390	25.0%
0	119390	25.0%
1	119390	25.0%
6	56707	11.9%
7	40687	8.5%
5	21996	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	477560	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	119390	25.0%
0	119390	25.0%
1	119390	25.0%
6	56707	11.9%
7	40687	8.5%
5	21996	4.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	477560	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	119390	25.0%
0	119390	25.0%
1	119390	25.0%
6	56707	11.9%
7	40687	8.5%
5	21996	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	477560	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	119390	25.0%
0	119390	25.0%
1	119390	25.0%
6	56707	11.9%
7	40687	8.5%
5	21996	4.6%

arrival_date_month
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

August	13877
July	12661
May	11791
October	11160
April	11089
Other values (7)	58812

Length

Max length	9
Median length	6
Mean length	5.903182846
Min length	3

Characters and Unicode

Total characters	704781
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	July
2nd row	July
3rd row	July
4th row	July
5th row	July

Value	Count	Frequency (%)
August	13877	11.6%
July	12661	10.6%
May	11791	9.9%
October	11160	9.3%
April	11089	9.3%
June	10939	9.2%
September	10508	8.8%
March	9794	8.2%
February	8068	6.8%
November	6794	5.7%
Other values (2)	12709	10.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
august	13877	11.6%
july	12661	10.6%
may	11791	9.9%
october	11160	9.3%
april	11089	9.3%
june	10939	9.2%
september	10508	8.8%
march	9794	8.2%
february	8068	6.8%
november	6794	5.7%
Other values (2)	12709	10.6%

Most occurring characters

Value	Count	Frequency (%)
e	95619	13.6%
r	78190	11.1%
u	65351	9.3%
b	43310	6.1%
a	41511	5.9%
y	38449	5.5%
t	35545	5.0%
J	29529	4.2%
c	27734	3.9%
A	24966	3.5%
Other values (16)	224577	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	585391	83.1%
Uppercase Letter	119390	16.9%

Most frequent character per category

Value	Count	Frequency (%)
e	95619	16.3%
r	78190	13.4%
u	65351	11.2%
b	43310	7.4%
a	41511	7.1%
y	38449	6.6%
t	35545	6.1%
c	27734	4.7%
m	24082	4.1%
l	23750	4.1%
Other values (8)	111850	19.1%

Value	Count	Frequency (%)
J	29529	24.7%
A	24966	20.9%
M	21585	18.1%
O	11160	9.3%
S	10508	8.8%
F	8068	6.8%
N	6794	5.7%
D	6780	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	704781	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	95619	13.6%
r	78190	11.1%
u	65351	9.3%
b	43310	6.1%
a	41511	5.9%
y	38449	5.5%
t	35545	5.0%
J	29529	4.2%
c	27734	3.9%
A	24966	3.5%
Other values (16)	224577	31.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	704781	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	95619	13.6%
r	78190	11.1%
u	65351	9.3%
b	43310	6.1%
a	41511	5.9%
y	38449	5.5%
t	35545	5.0%
J	29529	4.2%
c	27734	3.9%
A	24966	3.5%
Other values (16)	224577	31.9%

arrival_date_week_number
Real number (ℝ_≥0)

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.16517296

Minimum	1
Maximum	53
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	16
median	28
Q3	38
95-th percentile	49
Maximum	53
Range	52
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	13.60513836
Coefficient of variation (CV)	0.500830176
Kurtosis	-0.9860771763
Mean	27.16517296
Median Absolute Deviation (MAD)	11
Skewness	-0.01001432604
Sum	3243250
Variance	185.0997897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
33	3580	3.0%
30	3087	2.6%
32	3045	2.6%
34	3040	2.5%
18	2926	2.5%
21	2854	2.4%
28	2853	2.4%
17	2805	2.3%
20	2785	2.3%
29	2763	2.3%
Other values (43)	89652	75.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1047	0.9%
2	1218	1.0%
3	1319	1.1%
4	1487	1.2%
5	1387	1.2%

Value	Count	Frequency (%)
53	1816	1.5%
52	1195	1.0%
51	933	0.8%
50	1505	1.3%
49	1782	1.5%

arrival_date_day_of_month
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.79824106

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.780829471
Coefficient of variation (CV)	0.5558105765
Kurtosis	-1.187168319
Mean	15.79824106
Median Absolute Deviation (MAD)	8
Skewness	-0.002000453979
Sum	1886152
Variance	77.10296619
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
17	4406	3.7%
5	4317	3.6%
15	4196	3.5%
25	4160	3.5%
26	4147	3.5%
9	4096	3.4%
12	4087	3.4%
16	4078	3.4%
2	4055	3.4%
19	4052	3.4%
Other values (21)	77796	65.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3626	3.0%
2	4055	3.4%
3	3855	3.2%
4	3763	3.2%
5	4317	3.6%

Value	Count	Frequency (%)
31	2208	1.8%
30	3853	3.2%
29	3580	3.0%
28	3946	3.3%
27	3802	3.2%

stays_in_weekend_nights
Real number (ℝ_≥0)

ZEROS

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.9275986264

Minimum	0
Maximum	19
Zeros	51998
Zeros (%)	43.6%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	2
Maximum	19
Range	19
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9986134946
Coefficient of variation (CV)	1.076557755
Kurtosis	7.174066064
Mean	0.9275986264
Median Absolute Deviation (MAD)	1
Skewness	1.38004645
Sum	110746
Variance	0.9972289116
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	51998	43.6%
2	33308	27.9%
1	30626	25.7%
4	1855	1.6%
3	1259	1.1%
6	153	0.1%
5	79	0.1%
8	60	0.1%
7	19	< 0.1%
9	11	< 0.1%
Other values (7)	22	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	51998	43.6%
1	30626	25.7%
2	33308	27.9%
3	1259	1.1%
4	1855	1.6%

Value	Count	Frequency (%)
19	1	< 0.1%
18	1	< 0.1%
16	3	< 0.1%
14	2	< 0.1%
13	3	< 0.1%

stays_in_week_nights
Real number (ℝ_≥0)

ZEROS

Distinct	35
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.500301533

Minimum	0
Maximum	50
Zeros	7645
Zeros (%)	6.4%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	50
Range	50
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.908285615
Coefficient of variation (CV)	0.7632221914
Kurtosis	24.28455482
Mean	2.500301533
Median Absolute Deviation (MAD)	1
Skewness	2.862249242
Sum	298511
Variance	3.641553989
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	33684	28.2%
1	30310	25.4%
3	22258	18.6%
5	11077	9.3%
4	9563	8.0%
0	7645	6.4%
6	1499	1.3%
10	1036	0.9%
7	1029	0.9%
8	656	0.5%
Other values (25)	633	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7645	6.4%
1	30310	25.4%
2	33684	28.2%
3	22258	18.6%
4	9563	8.0%

Value	Count	Frequency (%)
50	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
40	2	< 0.1%
35	1	< 0.1%

adults
Real number (ℝ_≥0)

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.856403384

Minimum	0
Maximum	55
Zeros	403
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	3
Maximum	55
Range	55
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5792609988
Coefficient of variation (CV)	0.3120340137
Kurtosis	1352.115116
Mean	1.856403384
Median Absolute Deviation (MAD)	0
Skewness	18.31780476
Sum	221636
Variance	0.3355433048
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	89680	75.1%
1	23027	19.3%
3	6202	5.2%
0	403	0.3%
4	62	0.1%
26	5	< 0.1%
27	2	< 0.1%
20	2	< 0.1%
5	2	< 0.1%
55	1	< 0.1%
Other values (4)	4	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	403	0.3%
1	23027	19.3%
2	89680	75.1%
3	6202	5.2%
4	62	0.1%

Value	Count	Frequency (%)
55	1	< 0.1%
50	1	< 0.1%
40	1	< 0.1%
27	2	< 0.1%
26	5	< 0.1%

children
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0.0	110800
1.0	4861
2.0	3652
3.0	76
10.0	1

Length

Max length	4
Median length	3
Mean length	3.000008376
Min length	3

Characters and Unicode

Total characters	358171
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	110800	92.8%
1.0	4861	4.1%
2.0	3652	3.1%
3.0	76	0.1%
10.0	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	110800	92.8%
1.0	4861	4.1%
2.0	3652	3.1%
3.0	76	0.1%
10.0	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	230191	64.3%
.	119390	33.3%
1	4862	1.4%
2	3652	1.0%
3	76	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	238781	66.7%
Other Punctuation	119390	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	230191	96.4%
1	4862	2.0%
2	3652	1.5%
3	76	< 0.1%

Value	Count	Frequency (%)
.	119390	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	358171	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	230191	64.3%
.	119390	33.3%
1	4862	1.4%
2	3652	1.0%
3	76	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	358171	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	230191	64.3%
.	119390	33.3%
1	4862	1.4%
2	3652	1.0%
3	76	< 0.1%

babies
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	118473
1	900
2	15
9	1
10	1

Length

Max length	2
Median length	1
Mean length	1.000008376
Min length	1

Characters and Unicode

Total characters	119391
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	118473	99.2%
1	900	0.8%
2	15	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	118473	99.2%
1	900	0.8%
2	15	< 0.1%
10	1	< 0.1%
9	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	118474	99.2%
1	901	0.8%
2	15	< 0.1%
9	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119391	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	118474	99.2%
1	901	0.8%
2	15	< 0.1%
9	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	119391	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	118474	99.2%
1	901	0.8%
2	15	< 0.1%
9	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119391	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	118474	99.2%
1	901	0.8%
2	15	< 0.1%
9	1	< 0.1%

meal
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

BB	92310
HB	14463
SC	10650
Undefined	1169
FB	798

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	1074510
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BB
2nd row	BB
3rd row	BB
4th row	BB
5th row	BB

Value	Count	Frequency (%)
BB	92310	77.3%
HB	14463	12.1%
SC	10650	8.9%
Undefined	1169	1.0%
FB	798	0.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
bb	92310	77.3%
hb	14463	12.1%
sc	10650	8.9%
undefined	1169	1.0%
fb	798	0.7%

Most occurring characters

Value	Count	Frequency (%)
	827547	77.0%
B	199881	18.6%
H	14463	1.3%
S	10650	1.0%
C	10650	1.0%
n	2338	0.2%
d	2338	0.2%
e	2338	0.2%
U	1169	0.1%
f	1169	0.1%
Other values (2)	1967	0.2%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	827547	77.0%
Uppercase Letter	237611	22.1%
Lowercase Letter	9352	0.9%

Most frequent character per category

Value	Count	Frequency (%)
B	199881	84.1%
H	14463	6.1%
S	10650	4.5%
C	10650	4.5%
U	1169	0.5%
F	798	0.3%

Value	Count	Frequency (%)
n	2338	25.0%
d	2338	25.0%
e	2338	25.0%
f	1169	12.5%
i	1169	12.5%

Value	Count	Frequency (%)
	827547	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	827547	77.0%
Latin	246963	23.0%

Most frequent character per script

Value	Count	Frequency (%)
B	199881	80.9%
H	14463	5.9%
S	10650	4.3%
C	10650	4.3%
n	2338	0.9%
d	2338	0.9%
e	2338	0.9%
U	1169	0.5%
f	1169	0.5%
i	1169	0.5%

Value	Count	Frequency (%)
	827547	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1074510	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	827547	77.0%
B	199881	18.6%
H	14463	1.3%
S	10650	1.0%
C	10650	1.0%
n	2338	0.2%
d	2338	0.2%
e	2338	0.2%
U	1169	0.1%
f	1169	0.1%
Other values (2)	1967	0.2%

country
Categorical

HIGH CARDINALITY

Distinct	178
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

PRT	48590
GBR	12129
FRA	10415
ESP	8568
DEU	7287
Other values (173)	32401

Length

Max length	3
Median length	3
Mean length	2.98928721
Min length	2

Characters and Unicode

Total characters	356891
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	30 ?
Unique (%)	< 0.1%

Sample

1st row	PRT
2nd row	PRT
3rd row	GBR
4th row	GBR
5th row	GBR

Value	Count	Frequency (%)
PRT	48590	40.7%
GBR	12129	10.2%
FRA	10415	8.7%
ESP	8568	7.2%
DEU	7287	6.1%
ITA	3766	3.2%
IRL	3375	2.8%
BEL	2342	2.0%
BRA	2224	1.9%
NLD	2104	1.8%
Other values (168)	18590	15.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
prt	48590	40.7%
gbr	12129	10.2%
fra	10415	8.7%
esp	8568	7.2%
deu	7287	6.1%
ita	3766	3.2%
irl	3375	2.8%
bel	2342	2.0%
bra	2224	1.9%
nld	2104	1.8%
Other values (168)	18590	15.6%

Most occurring characters

Value	Count	Frequency (%)
R	80804	22.6%
P	58506	16.4%
T	54263	15.2%
A	21627	6.1%
E	21538	6.0%
B	17051	4.8%
S	13931	3.9%
U	13781	3.9%
G	13130	3.7%
F	10956	3.1%
Other values (16)	51304	14.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	356891	100.0%

Most frequent character per category

Value	Count	Frequency (%)
R	80804	22.6%
P	58506	16.4%
T	54263	15.2%
A	21627	6.1%
E	21538	6.0%
B	17051	4.8%
S	13931	3.9%
U	13781	3.9%
G	13130	3.7%
F	10956	3.1%
Other values (16)	51304	14.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	356891	100.0%

Most frequent character per script

Value	Count	Frequency (%)
R	80804	22.6%
P	58506	16.4%
T	54263	15.2%
A	21627	6.1%
E	21538	6.0%
B	17051	4.8%
S	13931	3.9%
U	13781	3.9%
G	13130	3.7%
F	10956	3.1%
Other values (16)	51304	14.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	356891	100.0%

Most frequent character per block

Value	Count	Frequency (%)
R	80804	22.6%
P	58506	16.4%
T	54263	15.2%
A	21627	6.1%
E	21538	6.0%
B	17051	4.8%
S	13931	3.9%
U	13781	3.9%
G	13130	3.7%
F	10956	3.1%
Other values (16)	51304	14.4%

market_segment
Categorical

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Online TA	56477
Offline TA/TO	24219
Groups	19811
Direct	12606
Corporate	5295
Other values (3)	982

Length

Max length	13
Median length	9
Mean length	9.01976715
Min length	6

Characters and Unicode

Total characters	1076870
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Direct
2nd row	Direct
3rd row	Direct
4th row	Corporate
5th row	Online TA

Value	Count	Frequency (%)
Online TA	56477	47.3%
Offline TA/TO	24219	20.3%
Groups	19811	16.6%
Direct	12606	10.6%
Corporate	5295	4.4%
Complementary	743	0.6%
Aviation	237	0.2%
Undefined	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
online	56477	28.2%
ta	56477	28.2%
ta/to	24219	12.1%
offline	24219	12.1%
groups	19811	9.9%
direct	12606	6.3%
corporate	5295	2.6%
complementary	743	0.4%
aviation	237	0.1%
undefined	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	138157	12.8%
O	104915	9.7%
T	104915	9.7%
e	100087	9.3%
i	93778	8.7%
l	81439	7.6%
A	80933	7.5%
	80696	7.5%
f	48440	4.5%
r	43750	4.1%
Other values (16)	199760	18.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	642735	59.7%
Uppercase Letter	329220	30.6%
Space Separator	80696	7.5%
Other Punctuation	24219	2.2%

Most frequent character per category

Value	Count	Frequency (%)
n	138157	21.5%
e	100087	15.6%
i	93778	14.6%
l	81439	12.7%
f	48440	7.5%
r	43750	6.8%
o	31381	4.9%
p	25849	4.0%
u	19811	3.1%
s	19811	3.1%
Other values (7)	40232	6.3%

Value	Count	Frequency (%)
O	104915	31.9%
T	104915	31.9%
A	80933	24.6%
G	19811	6.0%
D	12606	3.8%
C	6038	1.8%
U	2	< 0.1%

Value	Count	Frequency (%)
	80696	100.0%

Value	Count	Frequency (%)
/	24219	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	971955	90.3%
Common	104915	9.7%

Most frequent character per script

Value	Count	Frequency (%)
n	138157	14.2%
O	104915	10.8%
T	104915	10.8%
e	100087	10.3%
i	93778	9.6%
l	81439	8.4%
A	80933	8.3%
f	48440	5.0%
r	43750	4.5%
o	31381	3.2%
Other values (14)	144160	14.8%

Value	Count	Frequency (%)
	80696	76.9%
/	24219	23.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1076870	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	138157	12.8%
O	104915	9.7%
T	104915	9.7%
e	100087	9.3%
i	93778	8.7%
l	81439	7.6%
A	80933	7.5%
	80696	7.5%
f	48440	4.5%
r	43750	4.1%
Other values (16)	199760	18.6%

distribution_channel
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

TA/TO	97870
Direct	14645
Corporate	6677
GDS	193
Undefined	5

Length

Max length	9
Median length	5
Mean length	5.343303459
Min length	3

Characters and Unicode

Total characters	637937
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Direct
2nd row	Direct
3rd row	Direct
4th row	Corporate
5th row	TA/TO

Value	Count	Frequency (%)
TA/TO	97870	82.0%
Direct	14645	12.3%
Corporate	6677	5.6%
GDS	193	0.2%
Undefined	5	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
ta/to	97870	82.0%
direct	14645	12.3%
corporate	6677	5.6%
gds	193	0.2%
undefined	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
T	195740	30.7%
A	97870	15.3%
/	97870	15.3%
O	97870	15.3%
r	27999	4.4%
e	21332	3.3%
t	21322	3.3%
D	14838	2.3%
i	14650	2.3%
c	14645	2.3%
Other values (10)	33801	5.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	413386	64.8%
Lowercase Letter	126681	19.9%
Other Punctuation	97870	15.3%

Most frequent character per category

Value	Count	Frequency (%)
r	27999	22.1%
e	21332	16.8%
t	21322	16.8%
i	14650	11.6%
c	14645	11.6%
o	13354	10.5%
p	6677	5.3%
a	6677	5.3%
n	10	< 0.1%
d	10	< 0.1%

Value	Count	Frequency (%)
T	195740	47.4%
A	97870	23.7%
O	97870	23.7%
D	14838	3.6%
C	6677	1.6%
G	193	< 0.1%
S	193	< 0.1%
U	5	< 0.1%

Value	Count	Frequency (%)
/	97870	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	540067	84.7%
Common	97870	15.3%

Most frequent character per script

Value	Count	Frequency (%)
T	195740	36.2%
A	97870	18.1%
O	97870	18.1%
r	27999	5.2%
e	21332	3.9%
t	21322	3.9%
D	14838	2.7%
i	14650	2.7%
c	14645	2.7%
o	13354	2.5%
Other values (9)	20447	3.8%

Value	Count	Frequency (%)
/	97870	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	637937	100.0%

Most frequent character per block

Value	Count	Frequency (%)
T	195740	30.7%
A	97870	15.3%
/	97870	15.3%
O	97870	15.3%
r	27999	4.4%
e	21332	3.3%
t	21322	3.3%
D	14838	2.3%
i	14650	2.3%
c	14645	2.3%
Other values (10)	33801	5.3%

is_repeated_guest
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	115580
1	3810

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	119390
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	115580	96.8%
1	3810	3.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	115580	96.8%
1	3810	3.2%

Most occurring characters

Value	Count	Frequency (%)
0	115580	96.8%
1	3810	3.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119390	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	115580	96.8%
1	3810	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	119390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	115580	96.8%
1	3810	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	115580	96.8%
1	3810	3.2%

previous_cancellations
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.08711784907

Minimum	0
Maximum	26
Zeros	112906
Zeros (%)	94.6%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	26
Range	26
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8443363842
Coefficient of variation (CV)	9.691887405
Kurtosis	674.0736926
Mean	0.08711784907
Median Absolute Deviation (MAD)	0
Skewness	24.45804872
Sum	10401
Variance	0.7129039296
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	112906	94.6%
1	6051	5.1%
2	116	0.1%
3	65	0.1%
24	48	< 0.1%
11	35	< 0.1%
4	31	< 0.1%
26	26	< 0.1%
25	25	< 0.1%
6	22	< 0.1%
Other values (5)	65	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	112906	94.6%
1	6051	5.1%
2	116	0.1%
3	65	0.1%
4	31	< 0.1%

Value	Count	Frequency (%)
26	26	< 0.1%
25	25	< 0.1%
24	48	< 0.1%
21	1	< 0.1%
19	19	< 0.1%

previous_bookings_not_canceled
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	73
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1370969093

Minimum	0
Maximum	72
Zeros	115770
Zeros (%)	97.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	72
Range	72
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.497436848
Coefficient of variation (CV)	10.92246977
Kurtosis	767.2452097
Mean	0.1370969093
Median Absolute Deviation (MAD)	0
Skewness	23.53979995
Sum	16368
Variance	2.242317113
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	115770	97.0%
1	1542	1.3%
2	580	0.5%
3	333	0.3%
4	229	0.2%
5	181	0.2%
6	115	0.1%
7	88	0.1%
8	70	0.1%
9	60	0.1%
Other values (63)	422	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	115770	97.0%
1	1542	1.3%
2	580	0.5%
3	333	0.3%
4	229	0.2%

Value	Count	Frequency (%)
72	1	< 0.1%
71	1	< 0.1%
70	1	< 0.1%
69	1	< 0.1%
68	1	< 0.1%

reserved_room_type
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

A	85994
D	19201
E	6535
F	2897
G	2094
Other values (5)	2669

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	1910240
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	C
2nd row	C
3rd row	A
4th row	A
5th row	A

Value	Count	Frequency (%)
A	85994	72.0%
D	19201	16.1%
E	6535	5.5%
F	2897	2.4%
G	2094	1.8%
B	1118	0.9%
C	932	0.8%
H	601	0.5%
P	12	< 0.1%
L	6	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
a	85994	72.0%
d	19201	16.1%
e	6535	5.5%
f	2897	2.4%
g	2094	1.8%
b	1118	0.9%
c	932	0.8%
h	601	0.5%
p	12	< 0.1%
l	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	1790850	93.8%
A	85994	4.5%
D	19201	1.0%
E	6535	0.3%
F	2897	0.2%
G	2094	0.1%
B	1118	0.1%
C	932	< 0.1%
H	601	< 0.1%
P	12	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	1790850	93.8%
Uppercase Letter	119390	6.2%

Most frequent character per category

Value	Count	Frequency (%)
A	85994	72.0%
D	19201	16.1%
E	6535	5.5%
F	2897	2.4%
G	2094	1.8%
B	1118	0.9%
C	932	0.8%
H	601	0.5%
P	12	< 0.1%
L	6	< 0.1%

Value	Count	Frequency (%)
	1790850	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1790850	93.8%
Latin	119390	6.2%

Most frequent character per script

Value	Count	Frequency (%)
A	85994	72.0%
D	19201	16.1%
E	6535	5.5%
F	2897	2.4%
G	2094	1.8%
B	1118	0.9%
C	932	0.8%
H	601	0.5%
P	12	< 0.1%
L	6	< 0.1%

Value	Count	Frequency (%)
	1790850	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1910240	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	1790850	93.8%
A	85994	4.5%
D	19201	1.0%
E	6535	0.3%
F	2897	0.2%
G	2094	0.1%
B	1118	0.1%
C	932	< 0.1%
H	601	< 0.1%
P	12	< 0.1%

assigned_room_type
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

A	74053
D	25322
E	7806
F	3751
G	2553
Other values (7)	5905

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	1910240
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	C
2nd row	C
3rd row	C
4th row	A
5th row	A

Value	Count	Frequency (%)
A	74053	62.0%
D	25322	21.2%
E	7806	6.5%
F	3751	3.1%
G	2553	2.1%
C	2375	2.0%
B	2163	1.8%
H	712	0.6%
I	363	0.3%
K	279	0.2%
Other values (2)	13	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
a	74053	62.0%
d	25322	21.2%
e	7806	6.5%
f	3751	3.1%
g	2553	2.1%
c	2375	2.0%
b	2163	1.8%
h	712	0.6%
i	363	0.3%
k	279	0.2%
Other values (2)	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	1790850	93.8%
A	74053	3.9%
D	25322	1.3%
E	7806	0.4%
F	3751	0.2%
G	2553	0.1%
C	2375	0.1%
B	2163	0.1%
H	712	< 0.1%
I	363	< 0.1%
Other values (3)	292	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	1790850	93.8%
Uppercase Letter	119390	6.2%

Most frequent character per category

Value	Count	Frequency (%)
A	74053	62.0%
D	25322	21.2%
E	7806	6.5%
F	3751	3.1%
G	2553	2.1%
C	2375	2.0%
B	2163	1.8%
H	712	0.6%
I	363	0.3%
K	279	0.2%
Other values (2)	13	< 0.1%

Value	Count	Frequency (%)
	1790850	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1790850	93.8%
Latin	119390	6.2%

Most frequent character per script

Value	Count	Frequency (%)
A	74053	62.0%
D	25322	21.2%
E	7806	6.5%
F	3751	3.1%
G	2553	2.1%
C	2375	2.0%
B	2163	1.8%
H	712	0.6%
I	363	0.3%
K	279	0.2%
Other values (2)	13	< 0.1%

Value	Count	Frequency (%)
	1790850	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1910240	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	1790850	93.8%
A	74053	3.9%
D	25322	1.3%
E	7806	0.4%
F	3751	0.2%
G	2553	0.1%
C	2375	0.1%
B	2163	0.1%
H	712	< 0.1%
I	363	< 0.1%
Other values (3)	292	< 0.1%

booking_changes
Real number (ℝ_≥0)

ZEROS

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2211240472

Minimum	0
Maximum	21
Zeros	101314
Zeros (%)	84.9%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	21
Range	21
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.6523055727
Coefficient of variation (CV)	2.949953118
Kurtosis	79.39360467
Mean	0.2211240472
Median Absolute Deviation (MAD)	0
Skewness	6.000270054
Sum	26400
Variance	0.4255025601
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	101314	84.9%
1	12701	10.6%
2	3805	3.2%
3	927	0.8%
4	376	0.3%
5	118	0.1%
6	63	0.1%
7	31	< 0.1%
8	17	< 0.1%
9	8	< 0.1%
Other values (11)	30	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	101314	84.9%
1	12701	10.6%
2	3805	3.2%
3	927	0.8%
4	376	0.3%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
18	1	< 0.1%
17	2	< 0.1%
16	2	< 0.1%

deposit_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

No Deposit	104641
Non Refund	14587
Refundable	162

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	1790850
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Deposit
2nd row	No Deposit
3rd row	No Deposit
4th row	No Deposit
5th row	No Deposit

Value	Count	Frequency (%)
No Deposit	104641	87.6%
Non Refund	14587	12.2%
Refundable	162	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
deposit	104641	43.9%
no	104641	43.9%
refund	14587	6.1%
non	14587	6.1%
refundable	162	0.1%

Most occurring characters

Value	Count	Frequency (%)
	716178	40.0%
o	223869	12.5%
e	119552	6.7%
N	119228	6.7%
D	104641	5.8%
p	104641	5.8%
s	104641	5.8%
i	104641	5.8%
t	104641	5.8%
n	29336	1.6%
Other values (7)	59482	3.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	836054	46.7%
Space Separator	716178	40.0%
Uppercase Letter	238618	13.3%

Most frequent character per category

Value	Count	Frequency (%)
o	223869	26.8%
e	119552	14.3%
p	104641	12.5%
s	104641	12.5%
i	104641	12.5%
t	104641	12.5%
n	29336	3.5%
f	14749	1.8%
u	14749	1.8%
d	14749	1.8%
Other values (3)	486	0.1%

Value	Count	Frequency (%)
N	119228	50.0%
D	104641	43.9%
R	14749	6.2%

Value	Count	Frequency (%)
	716178	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1074672	60.0%
Common	716178	40.0%

Most frequent character per script

Value	Count	Frequency (%)
o	223869	20.8%
e	119552	11.1%
N	119228	11.1%
D	104641	9.7%
p	104641	9.7%
s	104641	9.7%
i	104641	9.7%
t	104641	9.7%
n	29336	2.7%
R	14749	1.4%
Other values (6)	44733	4.2%

Value	Count	Frequency (%)
	716178	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1790850	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	716178	40.0%
o	223869	12.5%
e	119552	6.7%
N	119228	6.7%
D	104641	5.8%
p	104641	5.8%
s	104641	5.8%
i	104641	5.8%
t	104641	5.8%
n	29336	1.6%
Other values (7)	59482	3.3%

agent
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Other	36637
9	31961
no_agent	16340
240	13922
1	7191
Other values (4)	13339

Length

Max length	15
Median length	11
Mean length	9.706240054
Min length	5

Characters and Unicode

Total characters	1158828
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no_agent
2nd row	no_agent
3rd row	no_agent
4th row	Other
5th row	240

Value	Count	Frequency (%)
Other	36637	30.7%
9	31961	26.8%
no_agent	16340	13.7%
240	13922	11.7%
1	7191	6.0%
14	3640	3.0%
7	3539	3.0%
6	3290	2.8%
250	2870	2.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
other	36637	30.7%
9	31961	26.8%
no_agent	16340	13.7%
240	13922	11.7%
1	7191	6.0%
14	3640	3.0%
7	3539	3.0%
6	3290	2.8%
250	2870	2.4%

Most occurring characters

Value	Count	Frequency (%)
	741286	64.0%
e	52977	4.6%
t	52977	4.6%
O	36637	3.2%
h	36637	3.2%
r	36637	3.2%
n	32680	2.8%
9	31961	2.8%
4	17562	1.5%
2	16792	1.4%
Other values (9)	102682	8.9%

Most occurring categories

Value	Count	Frequency (%)
Space Separator	741286	64.0%
Lowercase Letter	260928	22.5%
Decimal Number	103637	8.9%
Uppercase Letter	36637	3.2%
Connector Punctuation	16340	1.4%

Most frequent character per category

Value	Count	Frequency (%)
e	52977	20.3%
t	52977	20.3%
h	36637	14.0%
r	36637	14.0%
n	32680	12.5%
o	16340	6.3%
a	16340	6.3%
g	16340	6.3%

Value	Count	Frequency (%)
9	31961	30.8%
4	17562	16.9%
2	16792	16.2%
0	16792	16.2%
1	10831	10.5%
7	3539	3.4%
6	3290	3.2%
5	2870	2.8%

Value	Count	Frequency (%)
	741286	100.0%

Value	Count	Frequency (%)
_	16340	100.0%

Value	Count	Frequency (%)
O	36637	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	861263	74.3%
Latin	297565	25.7%

Most frequent character per script

Value	Count	Frequency (%)
	741286	86.1%
9	31961	3.7%
4	17562	2.0%
2	16792	1.9%
0	16792	1.9%
_	16340	1.9%
1	10831	1.3%
7	3539	0.4%
6	3290	0.4%
5	2870	0.3%

Value	Count	Frequency (%)
e	52977	17.8%
t	52977	17.8%
O	36637	12.3%
h	36637	12.3%
r	36637	12.3%
n	32680	11.0%
o	16340	5.5%
a	16340	5.5%
g	16340	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1158828	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	741286	64.0%
e	52977	4.6%
t	52977	4.6%
O	36637	3.2%
h	36637	3.2%
r	36637	3.2%
n	32680	2.8%
9	31961	2.8%
4	17562	1.5%
2	16792	1.4%
Other values (9)	102682	8.9%

company
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

no_company	112593
Other	5086
40	927
223	784

Length

Max length	17
Median length	17
Mean length	16.40281431
Min length	5

Characters and Unicode

Total characters	1958332
Distinct characters	18
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	no_company
2nd row	no_company
3rd row	no_company
4th row	no_company
5th row	no_company

Value	Count	Frequency (%)
no_company	112593	94.3%
Other	5086	4.3%
40	927	0.8%
223	784	0.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
no_company	112593	94.3%
other	5086	4.3%
40	927	0.8%
223	784	0.7%

Most occurring characters

Value	Count	Frequency (%)
	802766	41.0%
n	225186	11.5%
o	225186	11.5%
_	112593	5.7%
c	112593	5.7%
m	112593	5.7%
p	112593	5.7%
a	112593	5.7%
y	112593	5.7%
O	5086	0.3%
Other values (8)	24550	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1033681	52.8%
Space Separator	802766	41.0%
Connector Punctuation	112593	5.7%
Uppercase Letter	5086	0.3%
Decimal Number	4206	0.2%

Most frequent character per category

Value	Count	Frequency (%)
n	225186	21.8%
o	225186	21.8%
c	112593	10.9%
m	112593	10.9%
p	112593	10.9%
a	112593	10.9%
y	112593	10.9%
t	5086	0.5%
h	5086	0.5%
e	5086	0.5%

Value	Count	Frequency (%)
2	1568	37.3%
4	927	22.0%
0	927	22.0%
3	784	18.6%

Value	Count	Frequency (%)
	802766	100.0%

Value	Count	Frequency (%)
_	112593	100.0%

Value	Count	Frequency (%)
O	5086	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1038767	53.0%
Common	919565	47.0%

Most frequent character per script

Value	Count	Frequency (%)
n	225186	21.7%
o	225186	21.7%
c	112593	10.8%
m	112593	10.8%
p	112593	10.8%
a	112593	10.8%
y	112593	10.8%
O	5086	0.5%
t	5086	0.5%
h	5086	0.5%
Other values (2)	10172	1.0%

Value	Count	Frequency (%)
	802766	87.3%
_	112593	12.2%
2	1568	0.2%
4	927	0.1%
0	927	0.1%
3	784	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1958332	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	802766	41.0%
n	225186	11.5%
o	225186	11.5%
_	112593	5.7%
c	112593	5.7%
m	112593	5.7%
p	112593	5.7%
a	112593	5.7%
y	112593	5.7%
O	5086	0.3%
Other values (8)	24550	1.3%

days_in_waiting_list
Real number (ℝ_≥0)

ZEROS

Distinct	128
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.321149175

Minimum	0
Maximum	391
Zeros	115692
Zeros (%)	96.9%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	391
Range	391
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17.59472088
Coefficient of variation (CV)	7.580176694
Kurtosis	186.7930696
Mean	2.321149175
Median Absolute Deviation (MAD)	0
Skewness	11.94435345
Sum	277122
Variance	309.5742028
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	115692	96.9%
39	227	0.2%
58	164	0.1%
44	141	0.1%
31	127	0.1%
35	96	0.1%
46	94	0.1%
69	89	0.1%
63	83	0.1%
50	80	0.1%
Other values (118)	2597	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	115692	96.9%
1	12	< 0.1%
2	5	< 0.1%
3	59	< 0.1%
4	25	< 0.1%

Value	Count	Frequency (%)
391	45	< 0.1%
379	15	< 0.1%
330	15	< 0.1%
259	10	< 0.1%
236	35	< 0.1%

customer_type
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Transient	89613
Transient-Party	25124
Contract	4076
Group	577

Length

Max length	15
Median length	9
Mean length	10.20914649
Min length	5

Characters and Unicode

Total characters	1218870
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Transient
2nd row	Transient
3rd row	Transient
4th row	Transient
5th row	Transient

Value	Count	Frequency (%)
Transient	89613	75.1%
Transient-Party	25124	21.0%
Contract	4076	3.4%
Group	577	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
transient	89613	75.1%
transient-party	25124	21.0%
contract	4076	3.4%
group	577	0.5%

Most occurring characters

Value	Count	Frequency (%)
n	233550	19.2%
t	148013	12.1%
r	144514	11.9%
a	143937	11.8%
T	114737	9.4%
s	114737	9.4%
i	114737	9.4%
e	114737	9.4%
-	25124	2.1%
P	25124	2.1%
Other values (7)	39660	3.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1049232	86.1%
Uppercase Letter	144514	11.9%
Dash Punctuation	25124	2.1%

Most frequent character per category

Value	Count	Frequency (%)
n	233550	22.3%
t	148013	14.1%
r	144514	13.8%
a	143937	13.7%
s	114737	10.9%
i	114737	10.9%
e	114737	10.9%
y	25124	2.4%
o	4653	0.4%
c	4076	0.4%
Other values (2)	1154	0.1%

Value	Count	Frequency (%)
T	114737	79.4%
P	25124	17.4%
C	4076	2.8%
G	577	0.4%

Value	Count	Frequency (%)
-	25124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1193746	97.9%
Common	25124	2.1%

Most frequent character per script

Value	Count	Frequency (%)
n	233550	19.6%
t	148013	12.4%
r	144514	12.1%
a	143937	12.1%
T	114737	9.6%
s	114737	9.6%
i	114737	9.6%
e	114737	9.6%
P	25124	2.1%
y	25124	2.1%
Other values (6)	14536	1.2%

Value	Count	Frequency (%)
-	25124	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1218870	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	233550	19.2%
t	148013	12.1%
r	144514	11.9%
a	143937	11.8%
T	114737	9.4%
s	114737	9.4%
i	114737	9.4%
e	114737	9.4%
-	25124	2.1%
P	25124	2.1%
Other values (7)	39660	3.3%

adr
Real number (ℝ)

ZEROS

Distinct	8879
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	101.8311215

Minimum	-6.38
Maximum	5400
Zeros	1959
Zeros (%)	1.6%
Negative	1
Negative (%)	< 0.1%
Memory size	1.8 MiB

Quantile statistics

Minimum	-6.38
5-th percentile	38.4
Q1	69.29
median	94.575
Q3	126
95-th percentile	193.5
Maximum	5400
Range	5406.38
Interquartile range (IQR)	56.71

Descriptive statistics

Standard deviation	50.53579029
Coefficient of variation (CV)	0.4962705853
Kurtosis	1013.189851
Mean	101.8311215
Median Absolute Deviation (MAD)	27.825
Skewness	10.53021398
Sum	12157617.6
Variance	2553.8661
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
62	3754	3.1%
75	2715	2.3%
90	2473	2.1%
65	2418	2.0%
0	1959	1.6%
80	1889	1.6%
95	1661	1.4%
120	1607	1.3%
100	1573	1.3%
85	1538	1.3%
Other values (8869)	97803	81.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-6.38	1	< 0.1%
0	1959	1.6%
0.26	1	< 0.1%
0.5	1	< 0.1%
1	15	< 0.1%

Value	Count	Frequency (%)
5400	1	< 0.1%
510	1	< 0.1%
508	1	< 0.1%
451.5	1	< 0.1%
450	1	< 0.1%

required_car_parking_spaces
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

0	111974
1	7383
2	28
3	3
8	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	119390
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	111974	93.8%
1	7383	6.2%
2	28	< 0.1%
3	3	< 0.1%
8	2	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	111974	93.8%
1	7383	6.2%
2	28	< 0.1%
3	3	< 0.1%
8	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	111974	93.8%
1	7383	6.2%
2	28	< 0.1%
3	3	< 0.1%
8	2	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	119390	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	111974	93.8%
1	7383	6.2%
2	28	< 0.1%
3	3	< 0.1%
8	2	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	119390	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	111974	93.8%
1	7383	6.2%
2	28	< 0.1%
3	3	< 0.1%
8	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	119390	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	111974	93.8%
1	7383	6.2%
2	28	< 0.1%
3	3	< 0.1%
8	2	< 0.1%

total_of_special_requests
Real number (ℝ_≥0)

ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5713627607

Minimum	0
Maximum	5
Zeros	70318
Zeros (%)	58.9%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7927984228
Coefficient of variation (CV)	1.387557043
Kurtosis	1.492564811
Mean	0.5713627607
Median Absolute Deviation (MAD)	0
Skewness	1.349189377
Sum	68215
Variance	0.6285293392
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	70318	58.9%
1	33226	27.8%
2	12969	10.9%
3	2497	2.1%
4	340	0.3%
5	40	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	70318	58.9%
1	33226	27.8%
2	12969	10.9%
3	2497	2.1%
4	340	0.3%

Value	Count	Frequency (%)
5	40	< 0.1%
4	340	0.3%
3	2497	2.1%
2	12969	10.9%
1	33226	27.8%

reservation_status
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Check-Out	75166
Canceled	43017
No-Show	1207

Length

Max length	9
Median length	9
Mean length	8.619473993
Min length	7

Characters and Unicode

Total characters	1029079
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Check-Out
2nd row	Check-Out
3rd row	Check-Out
4th row	Check-Out
5th row	Check-Out

Value	Count	Frequency (%)
Check-Out	75166	63.0%
Canceled	43017	36.0%
No-Show	1207	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
check-out	75166	63.0%
canceled	43017	36.0%
no-show	1207	1.0%

Most occurring characters

Value	Count	Frequency (%)
e	161200	15.7%
C	118183	11.5%
c	118183	11.5%
h	76373	7.4%
-	76373	7.4%
k	75166	7.3%
O	75166	7.3%
u	75166	7.3%
t	75166	7.3%
a	43017	4.2%
Other values (7)	135086	13.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	756943	73.6%
Uppercase Letter	195763	19.0%
Dash Punctuation	76373	7.4%

Most frequent character per category

Value	Count	Frequency (%)
e	161200	21.3%
c	118183	15.6%
h	76373	10.1%
k	75166	9.9%
u	75166	9.9%
t	75166	9.9%
a	43017	5.7%
n	43017	5.7%
l	43017	5.7%
d	43017	5.7%
Other values (2)	3621	0.5%

Value	Count	Frequency (%)
C	118183	60.4%
O	75166	38.4%
N	1207	0.6%
S	1207	0.6%

Value	Count	Frequency (%)
-	76373	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	952706	92.6%
Common	76373	7.4%

Most frequent character per script

Value	Count	Frequency (%)
e	161200	16.9%
C	118183	12.4%
c	118183	12.4%
h	76373	8.0%
k	75166	7.9%
O	75166	7.9%
u	75166	7.9%
t	75166	7.9%
a	43017	4.5%
n	43017	4.5%
Other values (6)	92069	9.7%

Value	Count	Frequency (%)
-	76373	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1029079	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	161200	15.7%
C	118183	11.5%
c	118183	11.5%
h	76373	7.4%
-	76373	7.4%
k	75166	7.3%
O	75166	7.3%
u	75166	7.3%
t	75166	7.3%
a	43017	4.2%
Other values (7)	135086	13.1%

reservation_status_date
Categorical

HIGH CARDINALITY

Distinct	926
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

2015-10-21	1461
2015-07-06	805
2016-11-25	790
2015-01-01	763
2016-01-18	625
Other values (921)	114946

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1193900
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	< 0.1%

Sample

1st row	2015-07-01
2nd row	2015-07-01
3rd row	2015-07-02
4th row	2015-07-02
5th row	2015-07-03

Value	Count	Frequency (%)
2015-10-21	1461	1.2%
2015-07-06	805	0.7%
2016-11-25	790	0.7%
2015-01-01	763	0.6%
2016-01-18	625	0.5%
2015-07-02	469	0.4%
2016-12-07	450	0.4%
2015-12-18	423	0.4%
2016-02-09	412	0.3%
2016-04-04	382	0.3%
Other values (916)	112810	94.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
2015-10-21	1461	1.2%
2015-07-06	805	0.7%
2016-11-25	790	0.7%
2015-01-01	763	0.6%
2016-01-18	625	0.5%
2015-07-02	469	0.4%
2016-12-07	450	0.4%
2015-12-18	423	0.4%
2016-02-09	412	0.3%
2016-04-04	382	0.3%
Other values (916)	112810	94.5%

Most occurring characters

Value	Count	Frequency (%)
0	270055	22.6%
-	238780	20.0%
1	218578	18.3%
2	187927	15.7%
6	79165	6.6%
7	60096	5.0%
5	46838	3.9%
3	26867	2.3%
8	23119	1.9%
9	21359	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	955120	80.0%
Dash Punctuation	238780	20.0%

Most frequent character per category

Value	Count	Frequency (%)
0	270055	28.3%
1	218578	22.9%
2	187927	19.7%
6	79165	8.3%
7	60096	6.3%
5	46838	4.9%
3	26867	2.8%
8	23119	2.4%
9	21359	2.2%
4	21116	2.2%

Value	Count	Frequency (%)
-	238780	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1193900	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	270055	22.6%
-	238780	20.0%
1	218578	18.3%
2	187927	15.7%
6	79165	6.6%
7	60096	5.0%
5	46838	3.9%
3	26867	2.3%
8	23119	1.9%
9	21359	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1193900	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	270055	22.6%
-	238780	20.0%
1	218578	18.3%
2	187927	15.7%
6	79165	6.6%
7	60096	5.0%
5	46838	3.9%
3	26867	2.3%
8	23119	1.9%
9	21359	1.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	hotel	is_canceled	lead_time	arrival_date_year	arrival_date_month	arrival_date_week_number	arrival_date_day_of_month	stays_in_week_nights	adults	meal	country	market_segment	distribution_channel	reserved_room_type	assigned_room_type	booking_changes	deposit_type	agent	company	customer_type	adr	total_of_special_requests	reservation_status	reservation_status_date
0	Algarve Resort Hotel	0	342	2015	July	27	1	0	2	BB	PRT	Direct	Direct	C	C	3	No Deposit	no_agent	no_company	Transient	0.0	0	Check-Out	2015-07-01
1	Algarve Resort Hotel	0	737	2015	July	27	1	0	2	BB	PRT	Direct	Direct	C	C	4	No Deposit	no_agent	no_company	Transient	0.0	0	Check-Out	2015-07-01
2	Algarve Resort Hotel	0	7	2015	July	27	1	1	1	BB	GBR	Direct	Direct	A	C	0	No Deposit	no_agent	no_company	Transient	75.0	0	Check-Out	2015-07-02
3	Algarve Resort Hotel	0	13	2015	July	27	1	1	1	BB	GBR	Corporate	Corporate	A	A	0	No Deposit	Other	no_company	Transient	75.0	0	Check-Out	2015-07-02
4	Algarve Resort Hotel	0	14	2015	July	27	1	2	2	BB	GBR	Online TA	TA/TO	A	A	0	No Deposit	240	no_company	Transient	98.0	1	Check-Out	2015-07-03
5	Algarve Resort Hotel	0	14	2015	July	27	1	2	2	BB	GBR	Online TA	TA/TO	A	A	0	No Deposit	240	no_company	Transient	98.0	1	Check-Out	2015-07-03
6	Algarve Resort Hotel	0	0	2015	July	27	1	2	2	BB	PRT	Direct	Direct	C	C	0	No Deposit	no_agent	no_company	Transient	107.0	0	Check-Out	2015-07-03
7	Algarve Resort Hotel	0	9	2015	July	27	1	2	2	FB	PRT	Direct	Direct	C	C	0	No Deposit	Other	no_company	Transient	103.0	1	Check-Out	2015-07-03
8	Algarve Resort Hotel	1	85	2015	July	27	1	3	2	BB	PRT	Online TA	TA/TO	A	A	0	No Deposit	240	no_company	Transient	82.0	1	Canceled	2015-05-06
9	Algarve Resort Hotel	1	75	2015	July	27	1	3	2	HB	PRT	Offline TA/TO	TA/TO	D	D	0	No Deposit	Other	no_company	Transient	105.5	0	Canceled	2015-04-22

Last rows

	hotel	lead_time	arrival_date_year	arrival_date_month	arrival_date_week_number	arrival_date_day_of_month	stays_in_weekend_nights	stays_in_week_nights	adults	meal	country	market_segment	distribution_channel	reserved_room_type	assigned_room_type	deposit_type	agent	company	customer_type	adr	total_of_special_requests	reservation_status	reservation_status_date
119380	Lisbon City Hotel	44	2017	August	35	31	1	3	2	SC	DEU	Online TA	TA/TO	A	A	No Deposit	9	no_company	Transient	140.75	1	Check-Out	2017-09-04
119381	Lisbon City Hotel	188	2017	August	35	31	2	3	2	BB	DEU	Direct	Direct	A	A	No Deposit	14	no_company	Transient	99.00	0	Check-Out	2017-09-05
119382	Lisbon City Hotel	135	2017	August	35	30	2	4	3	BB	JPN	Online TA	TA/TO	G	G	No Deposit	7	no_company	Transient	209.00	0	Check-Out	2017-09-05
119383	Lisbon City Hotel	164	2017	August	35	31	2	4	2	BB	DEU	Offline TA/TO	TA/TO	A	A	No Deposit	Other	no_company	Transient	87.60	0	Check-Out	2017-09-06
119384	Lisbon City Hotel	21	2017	August	35	30	2	5	2	BB	BEL	Offline TA/TO	TA/TO	A	A	No Deposit	Other	no_company	Transient	96.14	2	Check-Out	2017-09-06
119385	Lisbon City Hotel	23	2017	August	35	30	2	5	2	BB	BEL	Offline TA/TO	TA/TO	A	A	No Deposit	Other	no_company	Transient	96.14	0	Check-Out	2017-09-06
119386	Lisbon City Hotel	102	2017	August	35	31	2	5	3	BB	FRA	Online TA	TA/TO	E	E	No Deposit	9	no_company	Transient	225.43	2	Check-Out	2017-09-07
119387	Lisbon City Hotel	34	2017	August	35	31	2	5	2	BB	DEU	Online TA	TA/TO	D	D	No Deposit	9	no_company	Transient	157.71	4	Check-Out	2017-09-07
119388	Lisbon City Hotel	109	2017	August	35	31	2	5	2	BB	GBR	Online TA	TA/TO	A	A	No Deposit	Other	no_company	Transient	104.40	0	Check-Out	2017-09-07
119389	Lisbon City Hotel	205	2017	August	35	29	2	7	2	HB	DEU	Online TA	TA/TO	A	A	No Deposit	9	no_company	Transient	151.20	2	Check-Out	2017-09-07

Most frequent

	hotel	is_canceled	lead_time	arrival_date_year	arrival_date_month	arrival_date_week_number	arrival_date_day_of_month	stays_in_weekend_nights	stays_in_week_nights	adults	meal	country	market_segment	distribution_channel	previous_cancellations	reserved_room_type	assigned_room_type	deposit_type	agent	company	days_in_waiting_list	customer_type	adr	reservation_status	reservation_status_date	# duplicates
7739	Lisbon City Hotel	1	277	2016	November	46	7	1	2	2	BB	PRT	Groups	TA/TO	0	A	A	Non Refund	no_agent	no_company	0	Transient	100.0	Canceled	2016-04-04	180
6514	Lisbon City Hotel	1	68	2016	February	8	17	0	2	2	BB	PRT	Groups	TA/TO	1	A	A	Non Refund	Other	no_company	0	Transient	75.0	Canceled	2016-01-06	150
7409	Lisbon City Hotel	1	188	2016	June	25	15	0	2	1	BB	PRT	Offline TA/TO	TA/TO	0	A	A	Non Refund	Other	no_company	39	Transient	130.0	Canceled	2016-01-18	109
7212	Lisbon City Hotel	1	158	2016	May	22	24	0	2	1	BB	PRT	Groups	TA/TO	0	A	A	Non Refund	Other	no_company	31	Transient	130.0	Canceled	2016-01-18	101
6183	Lisbon City Hotel	1	34	2015	December	50	8	0	2	1	BB	PRT	Offline TA/TO	TA/TO	1	A	A	Non Refund	Other	no_company	0	Transient	90.0	Canceled	2015-11-17	100
6125	Lisbon City Hotel	1	28	2017	March	9	2	0	3	2	BB	PRT	Groups	TA/TO	0	A	A	Non Refund	no_agent	no_company	0	Transient	95.0	Canceled	2017-02-02	99
6239	Lisbon City Hotel	1	38	2017	January	2	14	0	1	1	BB	PRT	Corporate	Corporate	0	A	A	Non Refund	no_agent	Other	0	Transient	75.0	Canceled	2016-12-07	99
7205	Lisbon City Hotel	1	156	2017	April	17	26	0	3	2	BB	PRT	Groups	TA/TO	0	A	A	Non Refund	Other	no_company	0	Transient	100.0	Canceled	2016-11-21	99
6538	Lisbon City Hotel	1	71	2016	June	25	14	0	3	1	BB	PRT	Offline TA/TO	TA/TO	0	A	A	Non Refund	Other	no_company	0	Transient	120.0	Canceled	2016-04-27	89
7272	Lisbon City Hotel	1	166	2016	November	45	1	0	3	1	BB	PRT	Offline TA/TO	TA/TO	0	A	A	Non Refund	Other	no_company	0	Transient	110.0	Canceled	2016-07-13	85

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters